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Mapping Expressions to Emotions

The emotion predictors use the observed facial expressions as input to calculate the likelihood of an emotion. Our Facial expression to emotion mapping builds on EMFACS mappings developed by Friesen & Ekman. A facial expression can have either a positive or a negative effect on the likelihood of an emotion. The following table shows the relationship between the facial expressions and the emotions predictors.

Emotion

Increase Likelihood

Decrease Likelihood

Joy

Smile

Brow Raise
Brow Furrow

Anger

Brow furrow
Lid Tighten
Eye Widen
Chin Raise
Mouth Open
Lip Suck

Inner Brow Raise
Brow Raise
Smile

Disgust

Nose Wrinkle
Upper Lip Raise

Lip Suck
Smile

Surprise

Inner Brow Raise
Brow Raise
Eye Widen
Jaw Drop

Brow Furrow

Fear

Inner Brow Raise
Brow Furrow
Eye Widen
Lip Stretch

Brow Raise
Lip Corner Depressor
Jaw Drop
Smile

Sadness

Inner Brow Raise
Brow Furrow
Lip Corner Depressor

Brow Raise
Eye Widen
Lip Press
Mouth Open
Lip Suck
Smile

Contempt

Brow Furrow
Smirk

Smile

How do we calculate valence?

The Valence metric likelihood is calculated based on a set of observed facial expressions: